דרושים » הנדסה » Senior Software Platform Engineer

As a Principal DevOps Engineer in our Platform Engineering team, you will lead the design and implementation of cutting-edge CI/CD pipelines and cloud architecture that powers our development environment. You'll drive initiatives to enhance developer productivity through automation, tooling, and infrastructure improvements, working with a modern tech stack including Kubernetes, Python, cloud-native and high-scale technologies.
Your Impact
Architect and implement scalable, resilient CI/CD pipelines and cloud infrastructure that supports our engineering organization's evolving needs
Design and develop internal developer tools and platforms that significantly improve developer experience and productivity
Drive the evolution of our Kubernetes-based deployment infrastructure in Google Cloud Platform, ensuring security, reliability and performance
Optimize and scale our CI/CD infrastructure including Jenkins, GitLab, TeamCity, and artifact management systems
Mentor and guide other engineers on DevOps best practices, infrastructure design, and implementation strategies
Drive adoption of infrastructure-as-code, automated testing, and deployment methodologies
Collaborate with development teams to understand their needs and implement solutions that accelerate their workflow
Establish standards and best practices for infrastructure reliability, observability, and performance.

Required Site Reliability Engineer- Infra
Realize your potential by joining the leading performance-driven advertising company!
As a Site Reliability Engineer- infra, on our Infrastructure team at the TLV office, you will play a key role in ensuring the reliability, scalability, and performance of our critical systems. You will be responsible for managing and improving our core infrastructure, with a focus on automation, monitoring, and incident response. You will work with a wide range of technologies, including Kubernetes, monitoring and observability tools, configuration management systems, and core networking services.
How youll make an impact:
As a Site Reliability Engineer, youll bring value by:
Ensure the reliability, availability, and performance of our infrastructure services.
Manage and maintain our Kubernetes infrastructure, including KubeVirt.
Design, implement, and maintain our monitoring and observability stack (SensuGo, VictoriaMetrics, Prometheus, ELK).
Automate infrastructure provisioning, configuration, and deployment processes using Puppet and Ansible.
Manage and maintain core services such as DNS and networking.
Troubleshoot and resolve complex infrastructure issues in a timely and efficient manner.
Participate in on-call rotations and incident response.
Develop and maintain infrastructure-as-code (IaC).
Identify and implement proactive measures to prevent incidents and improve system reliability.
Collaborate with development teams to ensure smooth and reliable deployments.
Contribute to the design and implementation of new infrastructure solutions.
Drive improvements in system architecture, processes, and tools.
Mentor and coach other team members.

We are looking for a Staff Engineer.
What Youll Do:
Lead architecture and system design for critical components of the Developer Experience platform, ensuring scalability, resilience, and long-term maintainability.
Own end-to-end delivery of complex initiatives, from requirements gathering and design to implementation, rollout, and observability.
Design, implement, and maintain robust microservices supporting high-throughput and low-latency operations.
Define and uphold API design standards, including gateway configuration, versioning strategy, and long-term lifecycle management.
Build and optimize backend systems that enable developer-facing products such as SDKs, APIs, and webhooks.
Work with both relational and NoSQL databases to ensure data consistency, scalability, and performance.
Collaborate with cross-functional teams to design systems that meet operational and business requirements.
Research and implement cloud-native architectures to support growth and scalability.
Contribute to the creation of developer tools and standards that improve the usability of our APIs and SDKs.

We are seeking a Senior Platform Engineer, Observability to join our Observability team. This role offers the opportunity to work at the intersection of software development and platform engineering, contributing to the tools, systems, and practices that improve visibility, reliability, and operational excellence across our engineering organization.

This position is ideally suited for experienced software engineers who are passionate about building high-quality systems and are interested in expanding their expertise in observability, distributed systems, and developer experience. You will help design, build and maintain systems that empower engineers across us to monitor, understand, and troubleshoot their services more effectively.

Our observability team is responsible for delivering scalable and user-friendly solutions to over 150 engineers working across more than 20 teams. Were focused on enabling rapid incident detection and resolution, improving our reliability posture, and supporting a culture of continuous improvement.

What you'll be doing:
Design, build, and maintain observability tools and infrastructure that help our engineers provide actionable insights into the performance and reliability of our systems.
Collaborate with other engineers and teams to enhance the developer experience around monitoring, logging, alerting, and tracing.
Develop and evolve our internal tooling to simplify the process of instrumenting and observing services.
Partner with engineering teams to improve incident response and recovery workflows, and ensure systems meet internal SLOs/SLAs and reliability targets.
Support the migration from our legacy ELK stack to a modern observability platform using Prometheus, Mimir, Grafana, Honeycomb, Loki, Quickwit, and OpenTelemetry.
Contribute to knowledge sharing and the ongoing development of best practices in observability across the organisation.

Were looking for a Senior DevOps Engineer to join our newly formed Foundations Teama small, high-impact group responsible for the infrastructure, tools, and shared services that power our entire R&D organization.
In this role, youll design, build, and evolve internal platform infrastructure, CI/CD systems, and developer enablement tooling. Your mission is to empower developers across the company to work autonomously, by creating self-service tools, automation, and clear standards that reduce friction and increase reliability.
Youll collaborate closely with engineers across disciplines and partner with the Foundations Team Lead to shape DevOps practices that scale. This is a hands-on role for someone who thrives in high-velocity, mission-critical environments and is passionate about building tools that make developers faster, more productive, and confident in running their own services.
What Youll Do
Design and maintain scalable, developer-friendly CI/CD pipelines and deployment workflows.
Build self-service tooling and automation that enables teams to manage deployments, environments, secrets, and observability independently
Be responsible for cloud infrastructure and operations foundations
Implement and promote best practices for monitoring, logging, and alerting across services.
Operate and optimize Kubernetes-based production environments, ensuring performance, security, and stability.
Manage infrastructure using Infrastructure as Code (IaC) and ensure repeatability and traceability through tools like Terraform.
Collaborate with R&D teams to support onboarding to internal tooling and promote a culture of enablement over dependency.
Monitor cloud cost, ensuring our cloud operates efficiently.

our company's Infinity External Risk Management, otherwise known as Cyberint, continuously reduces external cyber risk by managing and mitigating an array of digital threats with a unified solution.
At Cyberint, we help organizations protect their digital presence by delivering cutting-edge Attack Surface Management (ASM) and Threat Intelligence (TI) solutions. As a member of our R&D organization, youll play a key role in ensuring the scalability, reliability, and performance of our cloud-native SaaS platform operating at scale.
Key Responsibilities
As a DevOps Engineer, you will be a core member of our DevOps & Infrastructure team, focused on building and maintaining distributed, scalable, and highly available systems in a dynamic SaaS environment. You will collaborate closely with development, QA, and support teams to enhance automation, improve CI/CD pipelines, and drive operational excellence across the board.
Key Responsibilities:
Design, build, and maintain infrastructure in a modern cloud-native SaaS ecosystem (primarily AWS).
Contribute to the scalability and reliability of distributed systems supporting high-volume data processing and real-time operations.
Develop and enhance CI/CD pipelines to support rapid and reliable deployments across multiple environments.
Implement and manage Infrastructure as Code (IaC) using Terraform for consistent, scalable infrastructure.
Operate and optimize Kubernetes (EKS) clusters to support distributed microservices architectures.
Monitor and respond to system alerts, troubleshoot issues, and contribute to incident prevention and response strategies.
Build self-service tools and automation frameworks to empower R&D teams and enhance delivery velocity.
Work cross-functionally with developers, QA, and support to ensure infrastructure meets evolving product needs.
Write and maintain scripts (Python, Bash) to automate recurring tasks and streamline operations.
Continuously identify and execute improvements in system performance, availability, and cost-efficiency.

We are looking for an experienced Technology Architect / Technical Leader to drive the design, scalability, and evolution of our Harmony SaaS security platform. You will play a pivotal role in shaping our SaaS cloud security architecture and capabilities to protect organizations from emerging threats in real-time. This is a strategic, cross-functional, and hands-on position, suitable for a builder who thrives on ownership and technical depth.
Key Responsibilities
Architect and drive end-to-end design of large-scale, secure, and high-performance SaaS systems for cloud security, detection, and response.
Lead cross-functional projects across data, detection, and platform teams to deliver end-to-end features and capabilities.
Collaborate closely with Product Managers, Engineering Managers, and UX Designers to translate business requirements into scalable solutions.
Mentor engineers and guide the technology roadmap for the Harmony SaaS product.
Ensure operational excellence and full lifecycle ownership: design, implementation, deployment, observability, and continuous improvement.
Contribute to codebases where needed to unlock complex or foundational technical challenges.
Set architectural and technical standards for data pipelines, microservices, and cloud infrastructure.
Bring technical leadership and innovation to areas such as:
High-scale detection engines and analytics
Cloud-native threat protection
Real-time event streaming and processing
Unified SaaS security policies and visibility.

Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.

Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.

Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.

Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.

Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.

Required Staff MLOps Engineer
Apply
Realize your potential by joining the leading performance-driven advertising company!
As a Staff MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.